京东 11.11 红包
Stanford CS234 Reinforcement Learning，RLHF&DPO
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[RLC 2024] Sergey Levine，Reinforcement Learning in the Age of Foundation Models
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ICML2024 Tutorial，Machine Learning on Function spaces
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ICML 2024 Tutorial，Graph Learning
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Stanford CS25: Robotics and Imitation Learning
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Stanford CS234 Reinforcement Learning，Multi-Agent Game Playing
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Stanford CS234 Reinforcement Learning，Value Alignment2
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Stanford CS149 并行计算，Memory Consistency 12
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Stanford CS149 并行计算，Cache Coherence 11
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AI Safety, RLHF, and Self-Supervision - Jared Kaplan | Stanford MLSys #79
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Stanford CS149 并行计算，数据并行 8
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TPU V4 and Trends in Accelerator Hardware
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从物理互动中学习结构化世界模型
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Stanford EE259：镜头、图像传感器、图像信号处理
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Stanford CS149 并行计算，Hardware Specialization 18
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[Stanford MLSys] Hardware-aware Algorithms for Sequence Modeling
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Stanford CS149 并行计算，midterm review 14
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Stanford EE259: Lidar测距和DOA估计
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Stanford CS149 并行计算，GPU架构和CUDA编程 7
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Stanford MLSys: ML for ML Compilers
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Jacob Steinhardt: 超大模型对齐的挑战
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Geometric Regularizations for 3D Shape Generation
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Learning Abstractions from Humans
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Stanford EE364A：Convex Optimization lecture3
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Stanford EE259 惯性传感器：加速度计的工作原理与架构
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Stanford EE364A: Convex Optimization lecture13
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[RLC 2024] David Silver，Towards Superhuman Intelligence
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Stanford EE364A：Convex Optimization lecture14
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[Stanford Seminar] 将数据驱动的CBF近似与HJ可达性相结合
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[Stanford MLSys] Serving 100s of LLMs on 1 GPU with LoRAX
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Stanford CS149 并行计算，并行计算基础 4
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Stanford EE364A：Convex Optimization lecture1
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Ray Summit 2024，The State of vLLM
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Bill Dally，Directions in Deep Learning Hardware
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Stanford EE364A：Convex Optimization lecture12
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State of AI 2023
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Dynamics on Neural Networks
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Stanford CS149 并行计算，Transactional Memory 17
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Distributional reinforcement learning
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Stanford EE364A：Convex Optimization lecture5
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[Stanford MLSys] Foundation Models on Consumer Devices